The node-to-edge ratio for pruning, which keeps the number of parameters in the pruned network the same, is \([397:614, 472:921, 548:1228, 623:1536, 699:1843, 774:2150, 849:2457, 925:2764]\)  for CIFAR10 and \([256:156, 287:235, 317:313, 348:392, 378:470, 409:548, 439:627, 470:705]\)  for MNIST, given the network architecture in Table 1 of [1]}. These ratios correspond to \(20\%\)  to \(90\%\)  of the edges left for each node, as shown on the x-axis of Figure REF  and Figure REF . These node-to-edge ratios are calculated based on the conversion equation in Section REF . We used \(\beta = 10 / |T|\)  where \(|T|\)  is the size of the training dataset for all DPP node and edge kernel calculations on real data, following the choice of [1]}.
